Note : Kindly note only below qualification will be considered for this positions Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs) Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs. Role Description We are currently looking for bright Deep learning talent who have 3-4 years of industry experience (1.5-2 years in practical Deep Learning industry projects), working on problems related to the Video AI space. A Deep Learning engineer gets exposed to building solutions related to human activity analysis in videos 1. reads research papers to understand the latest developments in activity recognition, multi-camera object tracking problems 2. Devlops production quality code to convert the research to usable features on https://deeplabel.app. 3. Gets to work on Video Language model architectures. 4. Along with strong research skills, good coding skills and knowledge of Data structures and algorithms is required. Qualifications Strong coding skills in Python Thorough hands-on knowledge of Deep Learning frameworks - Pytorch, Onnx Excellent understanding and experience of deploying data pipelines for Computer Vision projects. Good working knowledge of troubleshooting, fixing and patching Linux system level problems (we expect engineers to set up their own workstations, install, troubleshoot Cuda problems and OpenCV2 problems). Good understanding of Deep Learning concepts (model parameters, tuning of models, optimizers, learning rates, attention mechanisms, masking etc). Thorough understanding of deep learning implementations of activity detection or object detection. Ability to read research papers and implement new approaches for activity detection and object detection. Knowledge of deployment tools like Triton inference server or Ray are a plus. In addition to the above : we need a few key personality attributes Willingness to learn and try till you succeed Curiosity to learn and experiment. Ability to work with full stack engineers of the AI platform team, to deploy your new innovations. Good communication skills Ability to take ownership of the respective modules for the whole lifecycle till deployment. Company Description Drillo.AI specializes in delivering tailored AI solutions that empower small and medium-sized businesses (SMBs) to innovate and grow. Our mission is to make advanced technology accessible, helping SMBs streamline operations, enhance decision-making, and drive sustainable success. With a deep understanding of the unique challenges faced by smaller enterprises, we provide scalable, cost-effective AI strategies to unlock new opportunities. By working closely with our clients, we help elevate their businesses to the next level. Show more Show less
At Drillo.AI, we deliver tailored AI solutions that empower small and medium-sized businesses (SMBs) to innovate and grow. Our mission is to make advanced technology accessible, helping SMBs streamline operations, enhance decision-making, and drive sustainable success. With a deep understanding of the unique challenges faced by smaller enterprises, we provide scalable, cost-effective AI strategies that unlock new opportunities. Our solutions elevate businesses to the next level. Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs) Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs. Role Description What you'll be doing: From Research to Reality: You'll be the bridge between cutting-edge academic research (activity recognition, multi-camera tracking, Video Language Models) and deployable, production-grade features on https://deeplabel.app. Building Solutions: Design, develop, and optimize Deep Learning models for human activity analysis in videos, from initial concept to final deployment. System Ownership: Take charge of your modules, ensuring they're robust, efficient, and seamlessly integrated with our AI platform, collaborating closely with our full-stack team. We're seeking a candidate with: 4-5 years of industry experience, with 2-3 years specifically in practical, project-driven Deep Learning in the Video AI domain. Rock-solid Python coding skills. Deep practical knowledge of PyTorch and ONNX. Proven track record of deploying data pipelines for Computer Vision projects. The ability to independently set up, troubleshoot, and optimize Linux workstations (CUDA, OpenCV). A strong grasp of Deep Learning concepts (optimizers, attention, masking, model tuning). Demonstrated experience with activity detection or object detection implementations. A keen ability to read and implement new approaches from research papers. Your personality is just as important: You're incredibly curious and love to experiment. You have an unwavering commitment to learning and overcoming challenges. You're a great communicator and thrive in a collaborative environment. You take full ownership of your work, seeing it through to successful deployment. Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs) Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs. Industry IT Services and IT Consulting Employment Type Full-time Edit job description
Company Description Drillo specializes in providing tailored AI solutions to empower small and medium-sized businesses in innovating and growing. Their mission is to make advanced technology accessible to help SMBs streamline operations, enhance decision-making, and drive sustainable success by offering scalable, cost-effective AI strategies. Key Responsibilities: Talent Sourcing: Proactively source and identify qualified candidates through various channels, including job boards, social media, networking events, and employee referrals. Build and maintain a pipeline of top IT talent, ensuring a diverse pool of candidates for current and future openings. Candidate Screening & Interviewing: Conduct thorough screenings of candidates to assess their technical skills, cultural fit, and alignment with the role requirements. Coordinate and conduct initial interviews, including technical assessments where applicable, and present qualified candidates to hiring managers. Schedule and facilitate interviews between candidates and hiring teams, ensuring a smooth and positive experience for all parties involved. Collaboration with Hiring Managers: Partner with hiring managers to understand their specific hiring needs, job requirements, and team dynamics. Provide guidance and recommendations to hiring managers on market trends, candidate availability, and competitive compensation packages. Collaborate with hiring managers to refine job descriptions, role requirements, and interview processes as needed. Offer Management & Negotiation: Extend job offers to candidates and negotiate terms, including salary, benefits, and start dates, ensuring a win-win outcome for both the candidate and the company. Manage the offer acceptance process and assist with the onboarding of new hires. Recruitment Strategy & Process Improvement: Develop and implement effective recruitment strategies to attract top IT talent in a competitive market. Continuously assess and improve recruitment processes to enhance efficiency, candidate experience, and time-to-fill metrics. Track and analyze recruitment data to report on key performance indicators (KPIs) such as time-to-hire, cost-per-hire, and candidate satisfaction. Employer Branding: Promote the company’s employer brand by creating engaging job postings, leveraging social media, and participating in industry events. Develop relationships with universities, coding bootcamps, and professional organizations to build a talent pipeline. Compliance & Documentation: Ensure all recruitment activities comply with relevant employment laws and company policies. Maintain accurate and up-to-date candidate records in the applicant tracking system (ATS). Qualifications: Education & Experience: Bachelor’s degree in Human Resources, Business, Information Technology, or a related field; or equivalent experience. 3+ years of experience in IT recruiting, preferably within the USA. Proven track record of successfully recruiting for a variety of IT roles, including software developers, network engineers, system administrators, data scientists, and cybersecurity specialists. Technical Skills: Strong understanding of technical roles, programming languages, software development processes, and IT infrastructure. Proficiency in using applicant tracking systems (ATS) and recruitment tools like LinkedIn Recruiter, Indeed, and other job boards. Experience with Boolean search techniques and other advanced sourcing strategies. Soft Skills: Excellent communication and interpersonal skills, with the ability to build strong relationships with candidates and hiring managers. Strong negotiation and closing skills, with the ability to manage complex offer situations. Highly organized, with strong attention to detail and the ability to manage multiple priorities in a fast-paced environment. Proactive and self-motivated, with a passion for identifying and hiring top talent. Preferred Qualifications: Experience recruiting for both contract and permanent positions. Familiarity with visa sponsorship processes and regulations (H-1B, L-1, etc.). Experience in a staffing agency or consultancy environment. Certification in recruiting or human resources (e.g., AIRS, SHRM, PHR).
Job Title: Technical Recruiter – US IT Staffing (2–3 Years Experience) Location: Onsite – India Work Hours: Night Shift (US Time Zone) Employment Type: Full-time Job Summary We are seeking a results-driven Technical Recruiter with 2–3 years of experience in US IT staffing to join our India office. The ideal candidate will have hands-on experience sourcing, screening, and placing technical talent across US markets, working closely with account managers and hiring teams to deliver high-quality pipelines in a fast-paced environment. This role requires onsite presence and night-shift alignment with US business hours . Key Responsibilities Manage full recruitment life cycle for US clients—sourcing, screening, qualifying, submitting, scheduling interviews, negotiating rates, and onboarding. Source candidates for contract, C2C, W2, C2H, and full-time openings using job portals, ATS tools, LinkedIn, internal database, and networking. Work closely with US Account Managers/Vendors to understand role requirements and hiring priorities. Conduct detailed technical and cultural fit assessments to ensure candidate alignment. Build and maintain candidate pipelines for commonly recruited skill sets (Java, .NET, DevOps, Cloud, Data Engineering, QA/SDET, Cybersecurity, etc.). Manage rate negotiation, candidate coordination, and interview feedback. Maintain accurate activity records in ATS, tracker sheets, and compliance forms. Follow US hiring guidelines including immigration/visa types (USC, GC, H1B, TN, OPT, CPT, EAD, etc.). Support onboarding steps including background verification, paperwork follow-ups, reference checks, and start date confirmations. Drive daily submission and hiring targets while working collaboratively with team leads. Required Skills & Experience 2–3 years of US IT recruitment/staffing experience Strong understanding of US hiring models (C2C, W2, 1099), time zones, tax terms, and compliance Working knowledge of Common US visas (H1B, GC, USC, EAD, TN, OPT/STEM OPT, etc.) Hands-on experience sourcing through Dice, CareerBuilder, Monster, Indeed, LinkedIn, ATS/CRM, and networking channels Good understanding of technical roles and skill stacks (Cloud, DevOps, Java, .NET, QA, Data Engineering, ERP, Salesforce, Networking, etc.) Excellent communication skills (spoken and written English) Ability to multitask, deliver under timelines, and meet submission/placement targets Strong negotiation and relationship management skills Preferred Qualifications Prior experience in an onsite US recruitment/staffing environment Experience coordinating directly with US Vendor Managers, HR, and project teams Understanding of VMS tools (e.g., Beeline, Fieldglass) Candidate who has previously worked US night shifts Work Conditions Onsite role – work from office (India) Night shift aligned to US working hours Performance-driven culture with incentives linked to closures and delivery
Role Overview Seeking an experienced Algorithmic Trading Engineer with deep expertise in futures trading and algorithmic trading systems to operate, maintain, and enhance a proprietary Renkobased trading platform for US index futures (ES, NQ, MES, MNQ). This role combines hands-on coding with real-market execution responsibility. Location: Remote (India) Experience: 3–7 years Type: Contract About the Trading System The Trading System is a production-grade algorithmic trading platform that: Trades ES, NQ, MES, MNQ futures via automated strategies Uses Renko chart-based logic with dynamic brick sizing Integrates with Interactive Brokers (IB) for market data and execution Manages trades via a state machine–driven engine (multiple position states) Incorporates volatility analysis using VIX/VXN Includes a full back testing framework against historical tick data Uses a queue-based execution layer for robust order handling Key Responsibilities 1. Live System Execution & Operations Deploy, configure, and run the trading system in paper and live environments Set up and maintain MySQL schemas, connections, and performance Configure and monitor IB TWS/Gateway sessions Oversee live strategy execution during US market hours (9:30 AM–4:00 PM ET) Monitor system health and ensure near-continuous uptime during trading Diagnose and resolve issues with connectivity, data feeds, and order execution 2. Strategy Maintenance & Enhancements Understand and maintain the V221GLi strategy and related versions (V3, V4, V221, etc.) Adjust parameters based on backtests and changing market conditions Implement new strategy versions within the existing modular architecture Debug and fix issues in entry/exit logic, state transitions, and trade management Optimize Renko brick logic, ATR sizing, and indicator computations 3. Backtesting & Performance Analysis Run comprehensive backtests using historical data (e.g., historical_ticks) Analyze results, generate P&L and performance reports, and validate changes Compare strategy variants and recommend improvements based on data Produce day-by-day and trade-by-trade analytics and summaries 4. Data Management & Quality Import and manage historical market data (CSV, Excel, database imports) Ensure data integrity, handle missing/dirty data, and implement recovery workflows Maintain real-time data feeds from IB and monitor tick_temp / index_temp tables Address data synchronization and latency issues 5. Risk Management & Monitoring Implement and monitor stop-loss, profit target, and position sizing rules Track unrealized P&L, drawdowns, and risk metrics in real time Configure alerts (e.g., Slack) for critical events and risk breaches Enforce risk limits, including after-hours and Friday-close logic 6. Codebase Maintenance & New Features Refactor and optimize Python code for robustness and performance Fix bugs and edge cases in data handling and trading logic Add new indicators, strategy modules, or asset coverage as needed Maintain documentation and version control hygiene Write unit tests for core trading and risk functions Required Technical Skills Core Technologies Python 3.9+ (expert) OOP and modular design State machine implementations Async/concurrent programming for real-time systems SQL/MySQL (advanced) Schema design and optimization Complex queries/joins, indexing, and performance tuning Transaction and connection management Trading & Analytics Stack Interactive Brokers API (ibapi) – hands-on experience required Market data subscriptions Order routing and execution Contract and account management TA-Lib and technical indicators ATR, EMA, and custom indicators Pandas / NumPy Time-series manipulation and analysis Edicient numeric computations System & Integration Skills MySQL setup, tuning, and maintenance Working with REST APIs and WebSockets Data formats: CSV, Excel (e.g., xlwings), JSON Logging, error handling, and runtime monitoring Required Domain Knowledge Futures Trading (Must Have) Strong knowledge of ES, NQ, MES, MNQ futures Contract specs, tick sizes, multipliers, rollover mechanics Practical experience (paper or live) with futures execution US session structure: regular hours, pre-/post-market nuances Algorithmic Trading Concepts Renko charts and brick-based strategies State machine–driven trade lifecycle management Technical indicators: EMA, ATR, MCO, etc. Volatility analysis with VIX/VXN Volume/flow-based conditions and filters Risk management: stops, targets, position sizing Backtesting and walk-forward evaluation