Agro Expert

Job Title : AI/ML Engineer (Python)

Location : Gurgaon

Experience : 5+ Years and 10+ Years

Role Overview :

We are seeking highly skilled AI/ML Engineers with expertise in Python to join our team in Gurgaon. The ideal candidates will have 5+ Years or 10+ Years of experience in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience :

• For 5+ Years : Proven expertise in AI/ML development with hands-on project experience.
• For 10+ Years : Advanced expertise in AI/ML with a track record of leading complex projects and mentoring teams.

Technical Skills :

• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :

• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

Job Description – Senior Marketing Leader / Head of Marketing (IntraIntel.ai, Global)

About IntraIntel.ai

IntraIntel.ai is an enterprise AI platform for intelligent workflow automation, delivering instant intelligence from organizational data without migration. The platform’s multi‑agent architecture automates complex workflows in healthcare, manufacturing, finance and research, reducing manual effort and generating significant cost savings. We partner with customers across sectors to deploy AI agents that generate deep insights, automate compliance, and streamline operations.

Role Summary

The Marketing Executive will own IntraIntel.ai’s market strategy and execution in India, working as part of a global marketing team. This position requires a strategic thinker and hands‑on leader who can craft compelling narratives about end‑to‑end AI platform value, identify high‑potential customer segments, and drive demand generation across channels.

Key Responsibilities

• GTM Strategy & Positioning: Develop and execute a data‑driven marketing strategy that aligns IntraIntel’s AI‑native platform and multi‑agent architecture with market needs Define triggers and leading indicators for pipeline creation, including industry events, regulatory deadlines, and emerging technology trends.
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• Segmentation & Targeting: Identify and prioritize verticals (healthcare, clinical trials, finance, manufacturing, textiles, etc.) where the platform’s workflow automation and cost‑reduction capabilities offer maximum benefit. Develop buyer personas (C‑suite, clinical leaders, compliance officers, manufacturing heads) and craft tailored messaging.
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• Channel & Campaign Management: Determine the optimal mix of channels (digital marketing, content, partnerships, events, thought leadership) to reach decision‑makers. Build multi‑channel campaigns and refine them through ongoing analysis
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• Demand Generation & Lead Nurturing: Drive inbound and outbound marketing programs to build a qualified pipeline; use marketing automation and CRM tools to track conversions, nurture leads and measure ROI.
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• Product Marketing & Storytelling: Translate complex AI concepts (LLMs, agents, vector search, RAG) into clear value propositions. Create collateral, case studies, demos, webinars and industry presentations that showcase the platform’s ability to consolidate siloed AI tools into a single end‑to‑end solution.
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• Sales Enablement & Customer Engagement: Work closely with sales and solution engineering to enable smooth handoffs. Support customer conversations, demo sessions and proof‑of‑concept engagements. Become a trusted advisor to prospects by understanding their business and identifying fit.
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• Partnerships & Relationship Development: Build relationships with industry associations, channel partners, and potential enterprise customers in India, the U.S. and Dubai. Bring existing executive‑level connections to accelerate market entry and establish IntraIntel’s reputation.
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• Market Intelligence & Competitive Analysis: Monitor competitive offerings, industry regulations and emerging AI technologies. Generate insights that influence product strategy and roadmap
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• Performance Measurement: Define key performance indicators (KPIs) for lead generation, conversion, revenue, brand awareness and customer satisfaction. Report regularly on marketing performance and adjust tactics to meet targets.
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Qualifications

• Proven Marketing Leadership: 8–12 years in B2B SaaS marketing, including at least 3–5 years owning GTM strategy and execution. Demonstrated ability to develop multi‑channel campaigns and collaborate with cross‑functional teams
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• AI/Technology Domain Expertise: Understanding of AI platforms, machine learning, LLMs and workflow automation. Experience marketing complex technical products to both technical and business audiences.
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• Industry Exposure: Direct or indirect experience in healthcare, clinical research, manufacturing, finance or related sectors. Ability to understand regulatory contexts and decision‑making structures across these industries.
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• Global Mindset: Experience marketing to U.S. and Indian enterprises (knowledge of Dubai/GCC market is a plus). Ability to localize messaging without losing global consistency.
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• Relationship Builder: Strong network of senior contacts in relevant industries. Confidence interacting with CEOs, CTOs and CIOs; comfort delivering high‑stakes demos and presentations.
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• Analytical & Results‑Driven: Proficient in data analysis, market research and marketing automation tools. Track record of achieving or exceeding pipeline and revenue targets through marketing initiatives
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• Communication & Collaboration: Excellent written and verbal communication skills. Ability to translate technical concepts into business value. Effective collaborator across product, sales, engineering and executive teams.
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• Education: Bachelor’s degree in Marketing, Business or a related field; an MBA or equivalent advanced degree is preferred.
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Performance Expectations & KPIs

• Demand Creation: Meet or exceed quarterly targets for qualified leads and opportunities.
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• Pipeline Contribution: Deliver measurable contribution to revenue through marketing‑sourced pipeline.
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• Market Awareness: Achieve growth in brand visibility, share of voice and thought leadership within targeted industries.
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• Campaign Effectiveness: Improve conversion rates across the marketing funnel; demonstrate ROI for each channel.
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• Customer Insights: Provide feedback on customer pain points, competitive intelligence and feature requests to the product team.
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• Team Collaboration: Maintain strong alignment with sales, product and customer success teams.
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Additional Notes

This role offers the opportunity to build a marketing function from the ground up in a fast‑growing AI company. The successful candidate will have a blend of strategic vision, hands‑on execution capability, and a passion for AI‑enabled digital transformation.

Requirements

• 3+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• Linux
• SpringBoot or Spring MVC
• Hands-on experience in Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Java 8
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding AI/ML algorithms is a plus.

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred

Job Title: US/Senior Recruiter
Shift: 6:30pm IST - 3:30am IST
JOB DESCRIPTION:

• Should have 6+ months of experience into End to end IT, Non IT, Pharma, Healthcare/Pharma, Engineering Recruitment
• Candidates should have experience in Contract staffing(C2H) or fulltime Recruitment
• Sourcing candidates from job portals, social networking sites, references - Screening & short-listing suitable profiles against the requirement
• Interviewing candidates to check for their communication skills, technical skills as per clients" needs & their suitability
• Coordinating with the clients to get the requirements and following up with them for the feedback of the processed profiles
• Scheduling telephonic and F2F interviews for the short-listed candidates
• Salary negotiations and fixation of the selected candidates
• Preparing and maintaining various recruitment details & database

Perks and Benefits: 5 days Working, Medical Benefits, Rewards & recognition, 4% Recurring Incentives (best in the market), Attractive Rewards & Recognition, Eminent Base Salary, Cab Facility and Meal facility for onsite candidates

Candidate should have their own laptop/Desktop (6 GB ram) with Proper internet Connection.

About company:

US Tech Solutions was founded in 2000 and today we are counted among the largest yet the fastest growing staffing firm; all achieved organically.

We are a global organization offering talent solutions to 150+ customers including 20% of the Fortune 500 across Financial Services, Healthcare, Life Sciences, Aerospace, Energy, Retail, Telecom, Technology, Manufacturing, and Engineering. Headquartered in New Jersey, we operate with 40 global locations across the U.S., Canada, Europe, and India.

As a certified Minority Business Enterprise, we embrace diversity as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees. We are proud to be rated as The Top Business in the U.S. by Diversity Business since 2011.

Working as your strategic talent partner, our team of expert and specialized individuals act as a catalyst for enhanced operational efficiency and increased productivity.

we have 3600 active employees, 40 global locations, 150+ reputed clients

Awards

• Staffing Industry Analyst – ‘Largest Staffing Firms’ in the U.S., 2017, 2016
• Staffing Industry Analyst – ‘Fastest growing staffing Firm’, 2017
• Staffing Industry Analyst ‘Largest Diversity Firm Award’
• KellyOCG Supplier Excellence Award 2016, 2015, 2013, 2012
• Deloitte ‘Technology Fast 500’, North America – 2015, 2014, 2013, 2012
• Diversity Business ‘Top U.S. Business’ (multiple awards)
• INC 500 ‘Fasting Growing Firm’ in North America (multiple awards)
• TAPFIN 100 – ‘Top Diversity Supplier’
• Randstad Sourceright Premier Partner – ‘Top 20 Supplier’ across all Randstad MSP Programs
• Volt Consulting Group ‘Supplier of the Year’ (multiple labor categories)
• Strategic Supplier Award for Allegis Global Solutions.

For more details you can login to http://www.ustechsolutions.com/" target="_blank">http://www.ustechsolutions.com/

Note:

U.S. Tech Solutions, Inc. is an Affirmative Action, Equal Opportunity Employer. Our employment decisions are made without regard to race, color, religion, gender, national origin, age, disability, marital status, veteran or military status, or any other legally protected status.