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machine learning engineer

Lumen Resources

<div>
 
 We&rsquo;re looking for a Machine Learning Engineer who thrives in fast-moving, high-impact environments and can deploy ML models in production environments. (3 days onsite)
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning solutions that support data-driven products and intelligent applications.
 </li>
 <li>
 Build scalable pipelines to collect, process, and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Develop and optimize machine learning models for tasks such as classification, prediction, recommendation, or natural language processing.
 </li>
 <li>
 Integrate models into production systems through APIs, microservices, or cloud-based infrastructure.
 </li>
 <li>
 Collaborate with software engineers, data teams, and product stakeholders to deliver end-to-end AI solutions.
 </li>
 <li>
 Monitor model performance in production environments and implement improvements to ensure reliability, accuracy, and scalability.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Experience designing and deploying machine learning models in production environments.
 </li>
 <li>
 Strong programming skills in Python and familiarity with common machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
 </li>
 <li>
 Experience building data pipelines and working with large datasets using modern data processing tools.
 </li>
 <li>
 Understanding of model evaluation techniques, feature engineering, and performance optimization.
 </li>
 <li>
 Experience integrating machine learning systems into applications using APIs or cloud-based services.
 </li>
 <li>
 Familiarity with containerization, version control, and modern development workflows.
 </li>
 </ul>
 
 
 
 
 Join us at Lumen Resources, where your expertise will contribute to our growth, and you'll have the opportunity to have fun and thrive alongside a dynamic group of professionals. Apply today and become a part of our exciting journey!
 
 
 
 
 
 
 Lumen Resources:
 
 
 
 
 
 
 At Lumen Resources you will be partnering with trained recruiters who will guide you through discovering a brighter future. Our recruiters are concise and efficient in all interactions, hold exceptional communication, and will support resume writing and interview preparation, so you can land any position you want!
 
 
 
 
 
 If this role doesn&rsquo;t align with what you are looking for, we have a host of clients with roles that could be a match. Feel free to reach out to connect with one of our team members at info@lumenresources.com1
 
 
 
 
 
 Lumen Resources is an Equal Opportunity Employer
 
 
 Don't hesitate to get in touch with our team for more information
 
</div>

Machine Learning Engineer

Qode

We are seeking a highly skilled Local to Tmpa,FL Python Data Engineer / Data Scientist to join our team in Tampa, FL. The ideal candidate will have strong experience in building scalable data pipelines, performing data analysis, and developing data-driven solutions using modern tools and technologies. 
Title: Python Data Engineer / Data ScientistLocation: Tampa, FL- Musy be local candiadtes onlyDuration: 6+ Months 
Required Skills:&bull; 3+ years of experience in Data Engineering / Data Science&bull; Strong programming experience in Python&bull; Hands-on experience with SQL and relational databases (PostgreSQL, MySQL, etc.)&bull; Experience with data engineering tools (Airflow, Spark, Kafka, etc.)&bull; Knowledge of cloud platforms (AWS, Azure, or GCP)&bull; Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)&bull; Familiarity with ETL/ELT frameworks&bull; Strong understanding of data structures and algorithmsPreferred Skills:&bull; Experience in Machine Learning / Data Science (scikit-learn, TensorFlow, PyTorch)&bull; Knowledge of data visualization tools (Tableau, Power BI)&bull; Experience with big data technologies (Hadoop, Hive)&bull; Understanding of CI/CD pipelines and DevOps practices&bull; Experience working in Agile environments

Python Data Engineer/Data Scientist

Jupiter IT Solutions LLC

Urgent Hiring :: Data Engineer -AI/MLJob Type : Full time (W2 Only)Work Authorization : USC/GC onlyWe are seeking a Data Engineer with strong AI/ML expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.Key ResponsibilitiesProject Responsibility: End-to-end data pipelines and integrationsTechnical Competencies:Advanced SQL optimization and complex query designKafka streaming applications and connector developmentDatabricks workflow development with medallion architectureData governance implementation and compliancePerformance tuning for large-scale data processingData security and privacy best practicesApache NiFi pipeline development for invoice and PO processingIntegration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.Design and optimize data architectures for large-scale ML workloadsExplore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.Soft Skills:Cross-functional collaboration with product and engineering teamsTechnical mentoring for junior data engineersAnalytical thinking for complex data problemsStakeholder communication for data requirementsProcess improvement and efficiency focusQuality mindset for data accuracy and reliability Vendor Management:Direct communication with data platform vendorsEvaluates vendor tools for specific data use casesProvides technical feedback on vendor product roadmapsCoordinates with vendors for data integration projectsQualifications:Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, Statistics, or related field.5+ years in data engineering; 2+ years applying ML in production.Pay: $100,000.00 - $120,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Tampa, FL 33610

Data Engineer- AI ML

Realign

<div>Tampa, Florida 33592 Posted March 19th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: Python Developer 
Location: Irving, TX / Tampa, FL / Edison, NJ (Onsite) 
Fulltime</div> 
Must Have Technical/Functional Skills<ul><li>This is a development position for establishing and implementing new or revised applications and programs in the Technology team.</li><li>As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners. You will have to address complex problems involving financial data with specific focus on credit risk management. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems.</li><li></li><li>Qualifications:</li><li>5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.</li><li>Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.</li><li>Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.</li><li>Proficiency with tools and LLMs.</li><li>Ability to work independently and collaboratively within a team.</li><li></li><li>Preferred Skills:</li><li>Experience in GenAI/LLMs projects.</li><li>Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).</li><li>Background in financial business-like banking, risk management.</li><li></li><li>Education:</li><li>Bachelor&rsquo;s degree/University degree or equivalent experience in STEM</li></ul>
Good to have:<ul><li>Working experience with Gemini LLM</li><li>Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras</li><li>Hands-On knowledge on NLP</li><li>Understanding of model deployment and containerization (Docker).</li><li>Understanding of version control systems (Git).</li><li>Awareness of AI compliance, data privacy, and responsible AI principles</li></ul>
Roles &amp; Responsibilities<ul><li>Architect, Design, and implement robust Python-based solution</li><li>Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards</li><li>Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture bl ueprint</li><li>Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation</li><li>Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals</li><li>Experience in using writing and using shell script and other Linux features</li><li>Implement Unit Testing and TDD to ensure software quality and maintainability</li></ul>
Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Python Developer

Booz Allen Hamilton

<div>Data Scientist
The Opportunity: 
As a data scientist at Booz Allen, you&rsquo;ll unlock insights from complex data to solve mission-critical challenges. In an increasingly connected world, large volumes of structured and unstructured data create opportunities to generate actionable intelligence and drive informed decision-making. On our team, you&rsquo;ll apply your technical expertise and systems thinking to help design analytic capabilities that support national security and mission partner objectives. 
 
This role requires individuals who are comfortable operating in early-stage or evolving data environments, where datasets, pipelines, and analytic frameworks may need to be built simultaneously. You&rsquo;ll work alongside data engineers, system architects, and mission stakeholders to shape the tools, data pipelines, and analytic environments required to enable scalable data science capabilities. 
 
Operate in a &ldquo;No-Fail&rdquo; mission environment, demonstrating extreme ownership and full accountability for outcomes. You&rsquo;ll proactively identify gaps in data availability, infrastructure, or analytic tooling and drive solutions without reliance on external direction. Anticipate risks, remove obstacles, and act decisively to close gaps before they impact mission delivery. 
 
Work closely with clients and mission partners to translate operational questions into analytic approaches. Apply the right combination of data engineering, analytics, and modeling techniques to generate meaningful insights that improve mission effectiveness. 
 
Ultimately, you&rsquo;ll help deliver mission outcomes by enabling teams to better understand their data, the insights it reveals, and how it can be used to support decision-making. 
 
Work with us as we use data science for good.
Join us. The world can't wait. 
 
You Have:<ul><li>
3+ years of experience with data exploration, data analysis, data mining, data visualization, or data science</li><li>
3+ years of experience programming in statistical or general-purpose languages such as Python, R, or languages used for data analysis</li><li>
Experience analyzing structured and unstructured data sources, developing analytical approaches to extract meaningful insights, and developing predictive data models, quantitative analyses, or decision-support tools</li><li>
Experience working with or designing data lakes, data warehouses, and ETL/ELT pipelines supporting analytics and machine learning workflows</li><li>
Experience preparing and transforming data through data ingestion, cleansing, and pipeline development to support scalable analytics</li><li>
Experience collaborating with data engineers, system architects, and mission stakeholders to define analytic requirements and develop solutions</li><li>
Ability to display ownership mentality, and take responsibility for complex technical challenges from problem definition through delivery</li><li>
Ability to operate effectively in ambiguous or evolving data environments where data, pipelines, and analytic frameworks must be developed simultaneously</li><li>
Secret clearance</li><li>
Bachelor&rsquo;s degree</li></ul> 
Nice If You Have:<ul><li>
Experience developing algorithms using Python, R, SQL, or NoSQL technologies</li><li>
Experience with distributed data and computing tools such as Hadoop, Spark, Kafka, EMR, or similar platforms</li><li>
Experience developing machine learning or natural language processing (NLP) solutions</li><li>
Experience working with cloud-based analytics environments such as AWS, Azure, or Google Cloud</li><li>
Experience building data architecture or analytics platforms that support scalable data science</li><li>
Experience with data visualization tools or packages such as Plotly, Seaborn, ggplot2, or Tableau</li><li>
TS/SCI clearance</li></ul>
Clearance: 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model 
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Data Scientist

ImpetusIT

<div>
 
 One of our staffing partners is helping an Ecommerce hire a
 
 Data Scientist
 
 
 
 Salary offered $65-75k per year
 
 
 Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop advanced NLP solutions for text generation, summarization, and semantic search
 </li>
 <li>
 Optimize transformer-based architectures for performance and scalability
 </li>
 <li>
 Leverage prompt engineering and model customization to enhance AI outputs
 </li>
 <li>
 Deploy, monitor, and optimize AI models in cloud environments
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI into real-world applications
 </li>
 <li>
 Analyze and preprocess massive datasets for AI-driven insights
 </li>
 <li>
 Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
 </li>
 <li>
 Proficiency in
 
 Python, TensorFlow, PyTorch.
 
 </li>
 <li>
 Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
 </li>
 <li>
 Familiarity with cloud-based AI environments (AWS, Azure, or GCP)
 </li>
 <li>
 Experience with AI model deployment and optimization techniques
 </li>
 </ul>
 
 
</div>

LTIMindtree

<div>Role description 
Job Description

This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance domain

Responsibilities
<ul><li> Design develop and implement cutting-edge Generative AI solutions for various AIML projects in Finance building upon existing foundations</li></ul>
<ul><li> Lead the integration of Retrieval Augmented Generation RAG techniques to enhance the accuracy and context awareness of our AI systems</li></ul>
<ul><li> Develop and refine Large Language Model LLM based solutions leveraging expertise in prompt engineering and finetuning</li></ul>
<ul><li> Utilize table transformers and other advanced Python packages for extracting and processing complex financial data</li></ul>
<ul><li> Work end to end on GenAI solutions from data preprocessing and model development to deployment and monitoring</li></ul>
<ul><li> Collaborate with cross functional teams to ensure seamless integration of AI solutions into existing workflows</li></ul>
<ul><li> Stay UpToDate with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts</li></ul>
<ul><li> Communicate technical concepts and findings clearly and effectively to both technical and nontechnical audiences</li></ul>

Qualifications
<ul><li> Bachelors in Computer Sciences or related field</li></ul>
<ul><li> Master&rsquo;s degree or PhD in Data Science Computer Science or a related field is preferred</li></ul>
<ul><li> Proven experience 68 years in developing and deploying AIML solutions in real world settings</li></ul>
<ul><li> Minimum 2 years of experience specifically with Generative AI solutions</li></ul>
<ul><li> Proven experience in developing and deploying Generative AI solutions in real world settings</li></ul>
<ul><li> Deep understanding of</li></ul>

1. Retrieval Augmented Generation RAG

2. Large Language Models LLMs and their applications

3. Transformer models e.g. BERT GPT

4. Agentic AI understanding

5. Prompt engineering and finetuning techniques

6. Vector databases and similarity search

7. Lang Chain LlamaIndex or similar frameworks for building GenAI applications

8. Model evaluation metrics for GenAI

9. MLOps principles and practices for deploying and managing AI models
<ul><li> Strong programming skills in Python including experience with relevant libraries and frameworks e.g. TensorFlow PyTorch scikitlearn Pandas NumPy</li></ul>
<ul><li> Excellent communication collaboration and problem-solving skills</li></ul>
<ul><li> Handson experience with end-to-end AI project development and deployment</li></ul>

Preferred Qualifications
<ul><li> Formal coursework or certifications in Data Science</li></ul>
<ul><li> Experience in the financial services industry</li></ul>
<ul><li> Familiarity with cloud computing platforms e.g. AWS Azure GCP</li></ul>
<ul><li> Contributions to opensource AI projects</li></ul>

What to expect
<ul><li> Opportunity to work on cutting edge AI projects</li></ul>
<ul><li> Collaborative and innovative work environment</li></ul> 
Skills 
Mandatory Skills : AI/Generative AI, GenAI - LLMOps 
Other details 
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

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. 
Benefits 
Compensation range: $98,015.00 to $146,600.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Senior Generative AI Engineer (Senior Specialist - Data Sciences)

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Senior Generative AI Engineer (Senior Specialist - Data Sciences)