scientist engineer

black.ai

<p>At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That's why we're redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder's mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents.</p> <p>By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.</p> <p><b>An Exciting Time to Join Sonder!</b></p> <p>Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia's leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale.</p> <p>Our impact and scale:</p> <ul> <li>1,000,000+ members across multiple countries</li> <li>200+ team members, plus an extensive network of on-the-ground responders</li> </ul> <p>If you're passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing!</p> <b>Role Summary</b> <p>Are you a recent PhD graduate or Postdoctoral researcher passionate about applying cutting edge AI to solve real world problems? Join Sonder as an Applied Machine Learning Scientist/Engineer - focusing on LLM Research & Fine Tuning Engineering, and help us build a new generation of AI systems that directly impact human well being and safety.</p> <p>This is a unique opportunity for a PhD level candidate to apply their deep academic knowledge to a mission driven environment. This role is distinct from typical AI tooling or RAG based roles.</p> <p>We are not seeking candidates whose primary experience is in building vector search systems or integrating off the shelf APIs. Instead, we require deep, hands on expertise with the internal workings of large language models. Your work will be instrumental in developing our personalisation engine and fine tuning state of the art open source LLMs like LLaMa, Mistral, and DeepSeek. Your research will translate directly into creating specialised LLMs that provide empathetic, life saving support to our members.</p> <p>We're looking for someone who thrives on technical challenges and wants to see their expertise translate into a positive, tangible impact.</p> <b>Key Responsibilities</b> <ul> <li>Research, fine tune, and optimise open source LLMs using techniques such as PEFT, LoRA, and QLoRA to build our proprietary AI models.</li> <li>Contribute to the design and implementation of our personalisation and recommendation engines to deliver tailored, proactive support.</li> <li>Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.</li> <li>Collaborate closely with cross functional teams, including product managers, software engineers, and mental health professionals, to translate research into effective product features.</li> <li>Stay current with the latest advancements in AI and LLM research, and apply new techniques to improve our systems.</li> <li>Publish and/or present research findings at conferences or in academic journals where appropriate, contributing to the broader AI community.</li> </ul> <b>Key Qualifications</b> <ul> <li>A recently completed <b>PhD</b> or <b>Postdoctoral experience</b> in Machine Learning, AI, Computer Science, or a closely related quantitative field.</li> <li>Deep theoretical and practical understanding of Transformer architectures, attention mechanisms, and training dynamics.</li> <li>Hands on experience fine tuning open source LLMs (e.g., LLaMa, Mistral, DeepSeek).</li> <li>Strong computer science fundamentals and coding proficiency in Python.</li> <li>Solid experience with deep learning frameworks such as PyTorch or TensorFlow.</li> <li>A profound passion for applying AI to high impact, meaningful domains such as mental health and well being.</li> </ul> <p><b>Candidates with primary experience limited to building Retrieval Augmented Generation (RAG) systems or MLOps tooling are not a suitable fit for this specific role.</b></p> <b>Nice to Have</b> <ul> <li>Experience with <b>distributed training</b> techniques for large models.</li> <li>Familiarity with cloud based machine learning stacks (e.g., <b>AWS, GCP</b>).</li> <li>A track record of <b>peer reviewed publications</b> in top tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).</li> </ul> <b>Eligibility</b> <ul> <li>The right to work full time in Australia</li> <li>Located within commuting distance to our Sydney office at the time of commencement.</li> </ul> <b>Impact & Growth</b> <p>Your work at Sonder will go beyond just optimising models; it will directly contribute to saving lives and improving mental well being on a global scale. This role offers the opportunity to shape our core AI technology from the ground up while growing as a leader in a supportive, mission driven environment. You will have the freedom to explore new research ideas and the resources to see them through to deployment, making a tangible difference in the world.</p> <b>Why Join Sonder?</b> <p>At Sonder, we thrive in a fast paced, high performance environment with a strong commitment to our people. Our team is a collaborative, vibrant group of passionate professionals, dedicated to making a real impact on people's lives every day.</p> <ul> <li>Hybrid and flexible working environment. Enjoy the perfect balance of in office collaboration and work from home flexibility, empowering you to optimise your productivity and work life balance.</li> <li>Gain free access to the Sonder app for you and your family, offering 24/7 on demand support for health, wellbeing, and safety.</li> <li>$1000 annual contribution as part of your development plan + 2 days of study leave</li> <li>Paid parental leave with an attractive return to work policy, 12 weeks for Primary Carers and 4 weeks for Secondary Carers, plus our Primary Carers return to work at 80% for the first 3 months at full pay.</li> <li>Participate in our Employee Share Option Plan (ESOP) for you to be a part of Sonder's success.</li> <li>Salary Packaging and novated leasing</li> <li>Access $250 annually to fund to invest in your wellbeing, empowering you to choose the support that best fits your needs.</li> <li>Free coffee on Tuesdays and catered lunch on Thursdays.</li> <li>Team social fund to connect with your team, plus monthly company wide social events.</li> <li>Dog friendly office.</li> <li>Volunteer leave. 2 days per year to participate in meaningful causes and contribute back to the community.</li> </ul> <p>Check out our life page for more info - </p> <b>Sonder is for Everyone</b> <p>We're committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out - we'd love to hear from you.</p> <p>Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.</p>

Applied Machine Learning Scientist/Engineer - LLMs (Recent PhD Grad)

L3Harris

<div><p>L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers&rsquo; mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.</p><p>
L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers&rsquo; mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.</p><p><b>
Job Title: Scientist, Systems Engineer - Engineering Talent Programs Pipeline</b></p><p></p><p><b><br>
Job Code: 32458</b></p><p></p><p><b><br>
Job Location: Camden, NJ (on-site)</b></p><p></p><p><b><br>
Schedule: 9/80 Regular (Every other Friday off)</b></p><p></p><p><i><br>
L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers&rsquo; mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.</i></p><p></p><p><b><i><br>
About L3Harris Technologies:
</i></b></p><p><i>L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers&rsquo; mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries.</i></p><p></p><p><b><br>
Job Description:</b></p><p></p><p><br>
The Engineering Operations organization within the Integrated Mission Systems (IMS) Segment is seeking an experienced Engineer who will lead the Engineering Talent Programs Pipeline, Engineering &amp; Technology Awards planning, and lead continueing education initiatives for the Engineering population within IMS. The ideal candidate must have the ability to influence, foster collaboration, teamwork, and interface across disciplines and functions.</p><p></p><p><b><br>
Essential Functions:</b></p><br>
<p></p><ul><li>
Demonstrate in-depth knowledge and understanding of the engineering career development framework, including best practices for talent development, career progression, and skill assessments.</li><li>
Facilitate career coaching sessions and host career development discussions to ensure talent pipeline members create career development plans for themselves</li><li>
Lead and coordinate key engineering talent pipeline programs, ensuring alignment with strategic goals, managing the nomination and selection process, coordinating rotational assignments, and driving engagement initiatives including communications, mentor pairing, participant knowledge sharing, collaboration, and learning opportunities.</li><li>
Create presentations and brief leadership on talent pipeline status, while identifying and implementing continuous improvement opportunities to enhance program effectiveness and participant development.</li><li>
Lead the planning and execution of Engineers Week (Eweek) and the annual patent and engineering &amp; technology awards, ensuring successful event coordination and recognition of engineering achievements.</li><li>
Lead Segment Lunch and Learns on career progression and technology advancements/technical skills to promote professional development and knowledge sharing across the segment</li><li>
Coordinate with the recruiting team on university career fairs, ensuring alignment with organizational needs and objectives.
</li><li>Obtain and maintain a US Security Clearance.</li><li>
Travels up to 25% domestic.</li></ul><p></p><p><b><br>
Qualifications:</b></p><br>
<p></p><ul><li>
Bachelor&rsquo;s degree in Engineering, or related field of study and a minimum of 12 years of prior relevant work experience or Graduate Degree and a minimum of 10 years of prior related experience.</li><li>
Prior experience working within an engineering organization in a technical or engineering-adjacent role, with direct exposure to engineering career paths, technical skill development, and how engineers progress, rotate, and are recognized within a large, matrixed environment.</li><li>
Proven track record leading engineering-focused talent programs or initiatives (e.g., engineering talent pipelines, rotational programs, technical awards, continuing education, or capability development).</li></ul><p></p><p><b><br>
Preferred Additional Skills:</b></p><br>
<p></p><ul><li>
Demonstrated strong leadership abilities, with excellent written and presentation skills.</li><li>
Exceptional communication, judgment/problem-solving, interpersonal, and team collaboration capabilities.</li><li>
Highly organized, resourceful, and adept at multi-tasking with strong attention to detail.</li><li>
Proven ability to interact positively with executives, managers, customers, and peers.</li><li>
Competent in effectively managing multiple simultaneous projects.</li><li>
Flexible and adaptable in the face of changing priorities.</li></ul><p></p><p><br>
In compliance with pay transparency requirements, the salary range for this role is $153,500 - $260,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.</p><p></p><p><br>
#LI-IK1</p><p>
L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.</p><p>
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
</p><p>By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.</p><p>
L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.</p></div>

Scientist, Systems Engineer - Talent Programs

Stanford University

<p> Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department ( ) and the Urologic Cancer Innovation Laboratory ( ) is seeking a creative, highly motivated, Research and Development Scientist and Engineer 1 with an interest in developing platforms that integrate and deploy multimodal machine learning methods in clinical applications. </p><p> The project is focused on developing a software platform to deploy our existing ultrasound-MRI models for prostate cancer detection in clinical practices. The position requires managing complex multi-modal data sets including clinical assessments, laboratory results, radiological images and pathological findings, to develop a user-friendly software that will encompass existing approaches and allows for easy integration of new models. The successful candidate will join the Department of Radiology at Stanford University and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This position is available immediately and has a 1-year duration, with possibility of extension based on funding availability and mutual agreement. </p><p> <strong>Duties include :</strong> </p><ul><li> Design and develop specialized software and tools; coordinate detailed phases of work related to responsibility for part of a major project. </li><li> Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge. </li><li> Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field. </li><li> Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty. </li><li> Optional: Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers. </li><li> Provide technical directions to other research staff, engineering associates, technicians, and/or students, as needed. </li></ul><p> - Other duties may also be assigned. <br></p> <p> <strong>DESIRED QUALIFICATIONS:</strong> </p><ul><li> Candidates should have prior experience in software and platform development and C++/python/docker/UIX programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn. </li><li> Candidate should have prior experience with Designing User Interfaces, including image visualization and connect platforms with docker containers. </li><li> Candidates with experience in radiomics, segmentation, image registration are strongly encouraged to apply. </li><li> Candidates should have demonstrated ability to work independently, attention to details, be dedicated and self-motivated. </li><li> Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles are necessary to be considered. </li><li> The candidate should have knowledge and experience in machine learning and deep learning, visualization, platform implementation. </li><li> The preferred candidate would also have experience with medical image processing, and traditional signal processing techniques. </li></ul><p> <strong>EDUCATION & EXPERIENCE (REQUIRED):</strong> </p><p> Bachelor's degree and three years of relevant experience, or combination of education and relevant experience. Preferred candidates will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields. </p><p><br> <strong>KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</strong> </p><ul><li> Thorough knowledge of the principles of engineering and related natural sciences. </li><li> Demonstrated project management experience. <br></li></ul><p> <strong>PHYSICAL REQUIREMENTS :</strong> </p><ul><li> Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. </li><li> Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. </li><li> Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh > 40 pounds. </li></ul><p> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. <br><br></p><p> <strong>WORKING CONDITIONS:</strong> </p><ul><li> May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights of 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. </li><li> May require travel. <br></li></ul><p> <strong>WORK STANDARDS:</strong> </p><ul><li> Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. </li><li> Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. </li><li> Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . </li></ul><p> The expected pay range for this position is $127,211 to $154,222 per annum. </p><p> Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. </p><p> At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. </p><p> Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . </p><p> Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. </p><p> The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. </p>

Research and Development Scientist and Engineer (1 Year Fixed-Term)

Talentxo

<p><b>Data Scientist (Product Company) &ndash; Mumbai</b></p><p>We are hiring a <b>Data Scientist</b> for a <b>consumer internet product company</b> in Mumbai.<br/>This role focuses on building, deploying, and scaling ML models that directly impact product performance and user outcomes.</p><p><b>Required Experience:</b> 2&ndash;5 years</p><p><b>You must have:</b></p><ul><li>2+ years hands-on experience as a Data Scientist or ML Engineer building ML models end-to-end</li><li>Strong <b>Python</b> with ability to implement classical ML algorithms (regression, trees, boosting, etc.)</li><li>Experience in <b>minimum 2+ use cases</b> among recommendation systems, image data, fraud/risk detection, price modelling, propensity models</li><li>Strong <b>NLP exposure</b> (text gen/classification, embeddings, similarity, user profiling, feature extraction from unstructured text)</li><li>Practical experience <b>productionizing models</b> using APIs / CI/CD / Docker on <b>AWS or GCP</b></li><li><b>Product company experience only</b> (not financial domains)</li></ul><p><b>What you will work on:</b><br/>Recommendation &amp; ranking, personalization, fraud/risk, pricing models, churn/propensity, A/B test design, monitoring model &amp; data drift.</p><p><b>Location:</b> Mumbai, Maharashtra<br/><b>Working Days:</b> 5 days/week<br/><b>Outstation Candidates:</b> Allowed if willing to relocate<br/><b>Max Notice Period:</b> 30 days</p><p>Job Type: Full-time</p><p>Pay: ₹2,100,000.00 - ₹2,800,000.00 per year</p><p>Experience:</p><ul><li>Data Scientist or ML Engineer: 2 years (Required)</li></ul><p>Work Location: In person</p>

Data Scientist

GE Vernova

<div><div><div>The Sr Data Scientist Engineer delivers end-to-end Data Science and Machine Learning solutions for industrial operations with a focus on<br>
time-series forecasting, anomaly detection, and predictive maintenance. You will lead assigned workstreams as an individual contributor,<br>
translate business goals into technical requirements, and productionize models on cloud platforms in partnership with data/platform<br>
engineering. The emphasis is on rigorous model development, validation, and lifecycle execution to achieve measurable outcomes (reliability,<br>
availability, efficiency, emissions, cost). Candidates should have a minimum of 4 years&rsquo; experience in operations within at least one of Oil &amp;<br>
Gas, Fossil Power, or Renewable Power. Experience with Generative AI (GenAI) is an added advantage. Reliability analytics exposure (e.g.,<br>
Weibull analysis, survival/hazard modeling, RGA/Crow-AMSAA, ReliaSoft or open-source equivalents) is preferred.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p>
Roles and Responsibilities</p><ul><li>
Own and lead assigned DS/ML workstreams as an individual contributor: collaborate with stakeholders to frame problems and agree success metrics, then deliver to plan.</li><li>
Perform data acquisition, quality assessment/cleansing, feature engineering, and exploratory analysis across industrial datasets (sensor/telemetry, production logs, emissions, maintenance history), ensuring reproducibility.</li><li>
Develop, tune, and validate models (regression, classification, time-series such as ARIMA/Prophet/LSTM/GRU/state-space; anomaly detection; ensembles; deep learning where applicable) with robust cross-validation and clear documentation.</li><li>
Deploy and operationalize models on cloud ML platforms (AWS/Azure/GCP) under established practices; contribute to serving choices and implement monitoring, drift detection, and retraining per defined policies in collaboration with MLOps and platform teams.</li><li>
Build maintainable, production-ready assets for assigned use cases: pipelines, experiment tracking, code quality, and reusable components; adhere to governance, security, and reliability/SLAs.</li><li>
Translate model outcomes into actionable insights for technical and non-technical stakeholders; communicate trade-offs, risks, and assumptions; track value against success metrics.</li><li>
Provide informal mentorship (code reviews, modeling best practices) to junior team members; contribute templates and documentation to improve ways of working.</li><li>
Contribute to pilots/POCs in GenAI/LLM-assisted workflows (analytics automation, documentation, knowledge retrieval) as an added advantage.</li><li>
Where applicable, partner with Reliability Engineering to apply reliability-focused models (e.g., Weibull/survival/RGA) and integrate CMMS/EAM/APM and historian/SCADA data to inform maintenance and spares decisions.</li><li>
Stay current with advances in industrial ML (e.g., streaming/real-time) and apply incremental improvements to methods and patterns.</li></ul><p></p><p><b>
Education Qualification
</b></p><p>For roles outside USA: Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) with minimum 5 to 8 years of experience in Data Science/Machine Learning or closely related roles. Master&rsquo;s preferred.</p><p></p><p>
For roles in USA: Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) with minimum 8 years of experience. Master&rsquo;s preferred.</p><p></p><p><b>
Desired Characteristics</b></p><p><b>
Technical Expertise:</b></p><ul><li>
Proficient in Python and SQL with libraries such as Pandas, NumPy, scikit-learn; experience with TensorFlow/PyTorch where deep learning is applicable.</li><li>
Strong applied time-series and anomaly detection for industrial data; hands-on with feature engineering and model validation practices.</li><li>
Experience deploying on cloud ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI); familiarity with MLOps (CI/CD for ML, model registry, monitoring, drift detection, retraining).</li><li>
Solid data management practices: ETL fundamentals, data quality assessment/cleansing, and awareness of governance/security controls.</li><li>
Familiarity with big data/streaming technologies (e.g., Spark, Kafka) and real-time analytics considerations is a plus.</li><li>
Preferred/added advantage: Reliability analytics methods and tools (Weibull, survival/hazard modeling, RGA/Crow-AMSAA; ReliaSoft suite or open-source equivalents such as lifelines/scikit-survival). GenAI/LLM-enablement for analytics acceleration.</li></ul><p></p><p>
Domain Knowledge:</p><ul><li>
Minimum 4 years&rsquo; experience in operations within at least one of: Oil &amp; Gas, Fossil Power, Renewable Power; ability to connect operational realities (failure modes, maintenance strategies, process constraints) to features, validation criteria, and deployment constraints.</li><li>
Demonstrated business understanding: map analytics to operational KPIs (availability, MTBF/MTTR, throughput, energy yield, emissions, cost) and articulate value/ROI trade-offs.</li></ul><p></p><p>
Leadership:</p><ul><li>
Operates with some autonomy within standard practices; primarily an individual contributor with strong interpersonal skills; provides informal guidance to new team members.</li><li>
Structured problem solving with the ability to propose options beyond set parameters (with guidance); collaborates across functions to execute effectively.</li><li>
Consulting mindset: translates requirements and trade-offs for stakeholders; provides researched recommendations with documented assumptions.</li><li>
Acts as a change agent at team level: adopts new methods/tools and drives continuous improvement in ways of working.</li></ul><p></p><p>
Personal Attributes:</p><ul><li>
Curiosity and creativity: explores new approaches and connects ideas from adjacent domains to improve outcomes.</li><li>
Comfort in ambiguity: delivers with assumptions where needed and course-corrects based on feedback; communicates status and limitations clearly.</li><li>
Strong communication and collaboration skills: tailors messages to varied audiences and contributes to a positive, high-performance team culture.</li></ul><p></p><p>
Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.</p><p>
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.</p><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>Yes</p></div></div></div></div></div></div></div></div></div></div><p></p>

Sr Data Scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div>Core Expertise:</div>
</div>
<div> <div>5+ years in AI/ML, NLP, and model deployment on GCP/Azure/AWS.</div></div><div><br>
<div>
</div></div><div><div>Strong Python skills; experience with TensorFlow, PyTorch, Transformers, LangChain, LlamaIndex.</div></div><div><br>
<div>
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>385646</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | AWS | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Engineer

White Mastery Systems

<ul><li><b>Data &amp; Tech:</b> Data Scientist, AI/Machine Learning Specialist, Software Developer, Data Analyst, Python Developer.</li><li><b>Research &amp; Development:</b> Research Scientist, Biochemist, Junior Research Fellow, Lab Technician, Biotech Researcher, Pharmacovigilance Associate.</li><li><b>Healthcare:</b> Assistant Dietician, Radiographer, Clinical Research Associate, roles in Pharmacy.</li><li><b>Education &amp; Academia:</b> University Lecturer, Professor, PGT Teacher (with B.Ed.).</li><li><b>Engineering:</b> Electrical Engineer, Automation Tester, roles in Water Quality.</li><li><b>Government &amp; Other Sectors:</b> Roles in ISRO, Ministry of Defense, Finance, Environmental Agencies, and</li></ul><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: ₹18,086.00 - ₹52,273.64 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

M.Sc freshers

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