Qureos Mentor

YO IT CONSULTING

<div>Hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems.
This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation.
Candidates should have 3+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices.
Responsibilities
<ul><li>Frame unique ML problems for enhancing ML capabilities of LLMs.</li>
<li>Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks.</li>
<li>Run rapid experimentation cycles, evaluate model performance, and iterate continuously.</li>
<li>Conduct advanced feature engineering and data preprocessing.</li>
<li>Implement adversarial testing, model robustness checks, and bias evaluations.</li>
<li>Fine-tune, evaluate, and deploy transformer-based models where necessary.</li>
<li>Maintain clear documentation of datasets, experiments, and model decisions.</li>
<li>Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward.</li>
</ul>Required Qualifications
<ul><li>At least 3 years of full-time experience in machine learning model development</li>
<li>Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field</li>
<li>Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent)</li>
<li>Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings)</li>
<li>Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks</li>
<li>Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures</li>
<li>Experience with distributed training, ML pipelines, and experiment tracking</li>
<li>Strong problem-solving skills and algorithmic thinking</li>
<li>Experience working with cloud environments (AWS/GCP/Azure)</li>
<li>Exceptional analytical, communication, and interpersonal skills</li>
<li>Ability to clearly explain modelling decisions, tradeoffs, and evaluation results</li>
<li>Fluency in English</li>
</ul>Preferred / Nice to Have
<ul><li>Kaggle Grandmaster, Master, or multiple Gold Medals</li>
<li>Experience creating benchmarks, evaluations, or ML challenge problems</li>
<li>Background in generative models, LLMs, or multimodal learning</li>
<li>Experience with large-scale distributed training</li>
<li>Prior experience in AI research, ML platforms, or infrastructure teams</li>
<li>Contributions to technical blogs, open-source projects, or research publications</li>
<li>Prior mentorship or technical leadership experience</li>
<li>Published research papers (conference or journal)</li>
<li>Experience with LLM fine-tuning, vector databases, or generative AI workflows</li>
<li>Familiarity with MLOps tools: Weights &amp; Biases, MLflow, Airflow, Docker, etc.</li>
<li>Experience optimising inference performance and deploying models at scale</li>
</ul>Why Join
<ul><li>Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems.</li>
<li>Work on high-impact machine learning challenges while experimenting with advanced modelling strategies, new analytical methods, and competition-grade validation techniques.</li>
<li>Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics.</li>
<li>Flexible engagement options (30&ndash;40 hrs/week or full-time) &mdash; ideal for ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems.</li>
<li>Fully remote and globally flexible &mdash; optimised for deep technical work, async collaboration, and high-output research environments.</li></ul></div>

Sr Machine Learning Engineer - LLM

Senior Machine Learning Engineer - LLM

<div>Experience: 6 - 8 Years
Location: Chennai (WFO)
Role Description 
The Data Engineer will be responsible for designing and developing data engineering solutions, creating and maintaining data models, building Extract Transform Load (ETL) pipelines, implementing data warehousing, and performing data analytics on large datasets.
<div>Qualifications: 
<ul><li>Data Engineering and Data Modeling skills</li><li>Experience with Extract Transform Load (ETL) pipelines</li><li>Expertise in implementing data warehousing solutions</li><li>Analytical skills for performing data analytics on large datasets</li><li>Strong programming skills in languages like Python, Java, or Scala</li><li>Experience with Big Data and cloud-based technologies like Hadoop, Spark, and AWS</li><li>Understanding of data governance and security principles</li><li>Bachelor's degree in Computer Science, Information Systems, or related field</li><li>Strong communication skills and ability to work independently and collaboratively</li></ul>
Experience Required: 6+ years in Data Engineering or related field</div>
<div>Primary Capabilities: 
SQL Expertise: 
<ul><li>Proficiency in writing complex SQL queries.</li><li>Experience with database design and optimization.</li><li>Ability to perform data manipulation and analysis.</li></ul>
Databricks Experience: 
<ul><li>Hands-on experience with Databricks platform.</li><li>Familiarity with Databricks' integration with various data sources and sinks.</li><li>Experience in building and optimizing big data pipelines using Databricks.</li></ul>
PySpark Proficiency: 
<ul><li>Strong skills in PySpark for large-scale data processing.</li><li>Understanding of PySpark's architecture and its application in data processing and transformation tasks.</li><li>Ability to write efficient, scalable, and reusable code in PySpark.</li></ul>
Python Programming: 
<ul><li>Strong programming skills in Python.</li><li>Experience with Python libraries relevant to data engineering (e.g., Pandas, NumPy).</li><li>Ability to write clean, maintainable, and efficient code in Python.</li></ul>
AWS Experience: 
<ul><li>Knowledge of AWS services relevant to data engineering (e.g., S3, Lambda, CodeCommit, etc.,).</li><li>Knowledge in building and maintaining data infrastructures on AWS.</li><li>Understanding of cloud computing concepts and how they apply to data engineering tasks.</li></ul></div>
<div>Analytics Skills: 
<ul><li>Ability to derive insights from large datasets.</li><li>Knowledge of data visualization tools and techniques.</li><li>Proficiency in statistical analysis and using data to inform decisions.</li></ul>
Logical Thinking and Problem-Solving: 
<ul><li>Strong logical reasoning and analytical skills.</li><li>Proven ability to troubleshoot and solve complex problems.</li><li>Capacity to break down and simplify complex problems, developing practical, efficient solutions.</li></ul></div>
<div>Other Desirable Qualifications: 
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Good communication skills and the ability to work collaboratively in a team.</li><li>Experience with version control tools like Git, CodeCommit.</li><li>Familiarity with Agile methodologies and DevOps practices.</li><li>Certification in relevant technologies (e.g., Databricks, AWS Certified Data Analytics) is a plus</li></ul></div></div>

Senior Data Engineer - Databricks/PySpark/AWS

Senior Data Engineer

<div>Location: Pennsylvania, USA
<div>Experience: 7 - 10 Years</div>
Must Have:
<ul><li>7+ years&rsquo; of experience in SampleManager LIMS Implementation and support.</li>
<li>Extensive experience developing solutions in LIMS</li>
<li>Experience in systems analysis, design and development, quality assurance and integration methodologies.</li>
<li>Must be able to handle multiple tasks simultaneously and have demonstrated good problem solving and analytical skills.</li>
<li>Proven ability to work effectively as a team member and can work with limited or most of the time no supervision on projects.</li>
<li>The candidate needs to have attention to detail and the ability to balance and prioritize multiple projects.</li>
<li>This person must be a flexible, self-motivated team player with a positive attitude.</li>
<li>The candidate must possess strong communications skills.</li>
<li>Open to learn and migrate to new technologies, ability to follow priorities and timelines.</li>
<li>Is clear about one&rsquo;s own and the company&rsquo;s goals and focuses on seeing the work through to completion.</li>
</ul>The Technical Lead will lead the technical team in SampleManager LIMS implementation projects.
The Opportunity: 
<ul><li>Front-end the customers to understand the enhancement requirement and provide solutions.
</li><li>Run requirement gathering workshops and prepare requirement specification documents.
</li><li>Develop and implement enhancements and revisions to meet the needs of the client.
</li><li>Deliver solutions as required and requested, according to agreed timeline, ensuring solutions conform to company standards and SOPs.
</li><li>Provide technical support to colleagues and clients on technical aspects of projects.
</li><li>Evaluate requirements from Clients and provide solutions.
 </li><li>Participate in the delivery of quality software through effective design and peer reviewing of code, unit testing.
</li><li>Involve in the full system life cycle and is responsible for design, code, test, implement, maintain, and support application software that is delivered within time and cost budget.
</li><li>Collaborate with multiple teams and multiple clients. 
</li><li>Develop/Configure Sample workflows, stock module, instrument module, Instrument Interfacing using Integration Manager, Report Designer, Forms Designer, Label Designer, Sample Scheduler, Batch Management, Lot management and Plate handling, stability, SQC, SM-IDI, PIMS and Dashboards. 
 
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</li> 
</ul>What You Need: 
 <ul><li>7+ years&rsquo; of experience in SampleManager LIMS Implementation and support.
</li><li>Extensive experience developing solutions in LIMS
</li><li>Experience in systems analysis, design and development, quality assurance and integration methodologies.
</li><li>Must be able to handle multiple tasks simultaneously and have demonstrated good problem solving and analytical skills.</li>
<li>Proven ability to work effectively as a team member and can work with limited or most of the time no supervision on projects.
 </li><li>The candidate needs to have attention to detail and the ability to balance and prioritize multiple projects.
</li><li>This person must be a flexible, self-motivated team player with a positive attitude.
</li><li>The candidate must possess strong communications skills.
</li><li>Open to learn and migrate to new technologies, ability to follow priorities and timelines.
</li><li>Is clear about one&rsquo;s own and the company&rsquo;s goals and focuses on seeing the work through to completion.</li></ul></div>

Sample Manager LIMS Technical Lead

<div>Location: Little Rock, Arkansas 
Experience: 5&ndash;10 Years 
Education: Bachelor&rsquo;s Degree in Mechanical Engineering (Mandatory) 
Job Type: Full-Time, Onsite 
Shift: Supervisory Role
<h2 class="jobSectionHeader">Job Summary</h2>
The Maintenance Supervisor &ndash; Mechanical leads a shift team responsible for installing, troubleshooting, and repairing plant equipment. This role oversees millwrights, ensures maintenance quality, plans jobs, and supports all mechanical systems across the facility, including machinery, HVAC, fans, and building equipment.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<h3 class="jobSectionHeader">Maintenance &amp; Operations</h3>
<ul><li>Lead and supervise millwrights during mechanical maintenance activities.
</li><li>Plan, assign, and prioritize daily maintenance jobs.
</li><li>Conduct routine inspections and ensure housekeeping standards on the shop floor.
</li><li>Monitor spare parts availability and report critical needs to the maintenance head/planner.
</li><li>Execute equipment upgrades for process improvement and de-bottlenecking.
</li><li>Perform breakdown analysis and recommend modifications to minimize downtime.
</li><li>Ensure availability of machine drawings, spares, tools, and PPE at the workplace.
</li><li>Coordinate with production teams to maintain optimal operation of manufacturing equipment.
</li><li>Plan and oversee breakdown, preventive, and shutdown maintenance tasks.
</li></ul><h3 class="jobSectionHeader">Safety &amp; Compliance</h3>
<ul><li>Implement OSHA standards and enforce Lockout/Tagout and Job Safety Analysis practices.
</li><li>Maintain compliance with all safety protocols and company policies.
</li><li>Ensure SAP/ERP maintenance documentation is completed accurately.
</li></ul><h3 class="jobSectionHeader">Training &amp; Leadership</h3>
<ul><li>Train engineers and technicians on maintenance techniques and safety standards.
</li><li>Conduct toolbox meetings and maintain millwright attendance schedules.
</li><li>Address performance issues, support employees, and resolve operational concerns.
</li></ul><h3 class="jobSectionHeader">Reporting &amp; Documentation</h3>
<ul><li>Provide daily reports on planned vs. completed maintenance activities.
</li><li>Document breakdowns, corrective actions, and improvement recommendations.
</li><li>Maintain logs and communicate abnormalities during machine observations.
</li></ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<ul><li>Bachelor&rsquo;s Degree in Mechanical Engineering (Mandatory)
</li><li>5&ndash;10 years of hands-on mechanical maintenance experience
</li><li>Strong knowledge of mechanical systems, plant machinery, and industrial troubleshooting
</li><li>Ability to read and interpret technical documents, equipment manuals, drawings, and procedures
</li><li>Proficient in SAP/ERP, spreadsheets, and documentation tools
</li><li>Strong communication, delegation, and team-leadership skills
</li></ul><h2 class="jobSectionHeader">Additional Skills</h2>
<ul><li>Understanding of OSHA standards
</li><li>Strong root cause analysis and problem-solving abilities
</li><li>Ability to work extended hours when required
</li><li>Ability to manage multiple variables and maintain safety under high-pressure situations
</li></ul><h2 class="jobSectionHeader">Work Environment</h2>
<ul><li>Exposure to loud noise, moving mechanical parts, fumes, and electrical risk
</li><li>Requires standing, walking, occasional lifting, and hands-on mechanical work
</li><li>Indoor industrial environment with varying conditions</li></ul></div>

Maintenance Supervisor - Mechanical

<div><div>Experience: 5 - 10 Years</div>
<div><div>Location: Little Rock, Arkansas</div>
</div>
<div></div><div>Must Have:</div>
<div><ul><li>Bachelor's Degree or Associate's Degree in Electrical/Electronics is mandatory</li>
<li>Deep PLC Programming &amp; Troubleshooting Expertise</li>
<li>Industrial Networking and HMI/SCADA Fluency</li>
<li>Advanced Motor Control (VFDs) and Electrical Schematics</li>
</ul></div><div><h3 class="jobSectionHeader">Job Summary</h3>
The Maintenance Supervisor is responsible for coordinating, directing, and overseeing the maintenance, repair, and improvement of all plant equipment, machinery, and facilities. This role ensures optimal equipment reliability, safety, and performance through effective preventive maintenance, process improvement, and leadership of the maintenance team.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Lead and implement maintenance and reliability systems across the plant, including Preventive Maintenance (PM), Total Productive Maintenance (TPM), and Workplace Organization.
</li><li>Provide training and guidance to engineers and technicians on maintenance techniques, job safety, and procedures such as Lockout &amp; Tagout (LOTO).
</li><li>Conduct breakdown analysis, develop corrective and preventive action plans, and ensure implementation.
</li><li>Drive in-house development of imported spare parts and manage vendor development for key components.
</li><li>Ensure availability of critical spare parts to minimize downtime and maintain operational continuity.
</li><li>Identify and execute equipment upgrades for process optimization and de-bottlenecking.
</li><li>Oversee SAP implementation for maintenance management and documentation.
</li><li>Enforce OSHA standards and safety practices to achieve a zero-injury work culture.
</li><li>Inspect equipment installations and construction work to ensure compliance with engineering specifications.
</li><li>Supervise maintenance personnel involved in equipment installation, repair, and preventive maintenance activities.
</li><li>Serve as a hands-on leader, providing support in electrical and mechanical troubleshooting and repairs.
</li><li>Perform other related duties as assigned.
</li></ul><h3 class="jobSectionHeader">Supervisory Responsibilities</h3>
<ul><li>Directly supervise employees within the Maintenance Department.
</li><li>Coordinate with Operations and HR on staffing, performance management, and training needs.
</li><li>Responsibilities include interviewing, hiring, training, appraising performance, and addressing employee issues in accordance with company policies and legal requirements.
</li></ul><h3 class="jobSectionHeader">Required Competencies</h3>
<ul><li>Leadership: Strong ability to delegate, supervise, and motivate a diverse maintenance team.
</li><li>Communication: Excellent verbal and written communication skills; able to convey technical information clearly.
</li><li>Professionalism: Treats all colleagues and subordinates with respect and fairness.
</li><li>Safety Orientation: Ensures compliance with all safety and security protocols.
</li><li>Dependability: Reliable and consistent in following instructions and meeting deadlines.
</li><li>Technical Problem-Solving: Skilled in identifying and resolving mechanical, electrical, and operational issues.
</li></ul><h3 class="jobSectionHeader">Qualifications &amp; Experience</h3>
<ul><li>Education: Bachelor&rsquo;s or Associate Degree in Electrical, Electronics, or a related engineering field.
</li><li>Experience: 5&ndash;10 years of relevant experience in equipment maintenance, plant reliability, and team leadership.
</li><li>Equivalent combinations of education and experience will be considered.
</li></ul><h3 class="jobSectionHeader">Technical Skills</h3>
<ul><li>Strong working knowledge of electrical and mechanical systems.
</li><li>Proficient in Microsoft Word, Excel, and maintenance management software (e.g., SAP).
</li><li>Understanding of probability, statistical inference, geometry, and trigonometry for maintenance planning and analysis.
</li><li>Familiar with maintenance documentation, procedures, and compliance requirements.
</li></ul><h3 class="jobSectionHeader">Language Skills</h3>
<ul><li>Ability to read and interpret technical documents, safety manuals, and engineering specifications.
</li><li>Able to prepare reports, business correspondence, and present information effectively to management and teams.
</li></ul><h3 class="jobSectionHeader">Physical Requirements</h3>
<ul><li>Occasionally required to stand, walk, or handle tools and materials.
</li><li>May need to lift or move items up to 25 pounds.
</li><li>Must have depth perception and the ability to adjust visual focus for detailed work.
</li></ul><h3 class="jobSectionHeader">Work Environment</h3>
<ul><li>Industrial or manufacturing plant setting.
</li><li>May require occasional extended hours to support maintenance or emergency repairs.</li></ul></div></div>

Electrical Maintenance Supervisor

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