Engineering Jobs in Bound Brook Nj Flexible

What you will do at Sogeti:

• Design SAP MDG architecture, including data models, rule frameworks, workflows, and integration patterns.
• Lead MDG incident, problem, and change processes, ensuring timely resolution and quality root‑cause analysis.
• Translate business requirements into scalable MDG designs, including data models, UI models, workflows, BRF+ rules, and DRF/integration patterns.
• Coordinate across multiple workstreams and cross‑functional teams to ensure aligned delivery and consistent solution design.
• Participate in on‑call rotation for critical production issues.

What you will bring:

• 8+ years of hands‑on SAP experience, with at least 5 years focused on SAP MDG
• Strong expertise in:
• MDG data modeling, UI modeling, and workflow
• BRF+ configuration
• DRF/IDoc/PI/ODATA integrations
• SAP S/4HANA data structures and governance models

Proven experience operating within a run/support model, including:

• Incident, problem, and change management processes with strong RCA capability.
• Release and deployment management: regression planning, cutover validation, documentation, and runbook creation.
• Working within structured ITSM environments such as ServiceNow or Jira, with familiarity in ITIL‑aligned processes.
• Excellent client‑facing communication skills; able to confidently engage and influence senior business and IT stakeholders.

Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work options
• 401(k) with 150% match up to 6%
• Employee Share Ownership Plan
• Medical, Prescription, Dental & Vision Insurance
• Life Insurance
• 100% Company-Paid Mobile Phone Plan
• 3 Weeks PTO + 7 Paid Holidays
• Paid Parental Leave
• Adoption, Surrogacy & Cryopreservation Assistance
• Subsidized Back-up Child/Elder Care & Tutoring
• Career Planning & Coaching
• $5,250 Tuition Reimbursement & 20,000+ Online Courses
• Employee Resource Groups
• Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
• Disaster Relief Programs

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best |

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 100k-160K.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: UI Developer

Location: Berkeley Heights, NJ

Job Description:

Key Responsibilities:

•Excellent knowledge of HTML5 & CSS3, JavaScript.

•Hands-on experience of building Responsive Websites using Bootstrap or other responsive framework (at least two to three projects).

•Solid understanding of cross-browser compatibility issues and ways to work around them.

•Good understanding of design or visualization online tools like Invision, Figma etc.

•Knowledge of web site development with best practices like W3C Standards

•Good understanding of GitHub, SVN

•Good understanding of AGILE -SCRUM.

Preferred background and qualifications:

• Bachelor’s or master’s degree in computer science/engineering or similar education

•Work in collaboration with Product owner, UX Lead to understand requirements.

•Build reusable code and libraries for future use.

•Optimize application for maximum speed and scalability

Preferred personal qualities:

•Excellent communication skills (Verbal & Written)

•Ability to Work with the other developers and designers to develop product features.

•Excellent Logical & analysis Skills

•Proven experience of working as part of a cross functional team.

Ability to adapt and react to changes

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

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